How do I connect Google Search Console to Amazon S3 without coding?

Kondado offers a no-code solution where you authenticate your Google Search Console account and provide your Amazon S3 credentials through an intuitive interface. The platform manages the API connections and file formatting automatically, requiring no Python scripts or manual engineering work from your team.

What specific Google Search Console metrics can I replicate to Amazon S3?

You can replicate the Sites pipeline containing siteurl and permissionlevel information, plus the Search Information pipeline with metrics like impressions, clicks, CTR, and dimensions including query, country, and device. This gives you complete visibility into search performance and property management data.

How often does Kondado update my Search Console data in S3?

Kondado replicates data on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. This ensures your Amazon S3 bucket contains fresh SEO data aligned with your reporting needs without overwhelming your storage with unnecessary updates.

What file format does the data arrive in when sent to Amazon S3?

Data arrives as optimized structured files ready for immediate querying through Athena, Presto, or Dremio. The format supports efficient storage and compute separation, allowing you to run complex SQL queries directly against your search performance data without additional transformation steps.

Can I combine Google Search Console data with other marketing sources in Amazon S3?

Yes, you can replicate data from additional sources like advertising platforms or analytics tools into the same Amazon S3 environment. This enables you to join Search Console metrics with paid search or social media data to create comprehensive marketing reports in Power BI , Looker Studio , or BigQuery .

Do I need to manually export CSV files from Google Search Console?

Once you configure the pipeline, Kondado automatically pulls the selected data from Google Search Console and delivers it to your Amazon S3 bucket on your chosen schedule. This automated approach ensures your search performance metrics remain current without requiring weekly CSV downloads or copy-paste workflows.

Can I send Google Search Console data to visualization tools after it reaches Amazon S3?

Absolutely. Once your data resides in Amazon S3, you can connect it to Power BI , Looker Studio , or BigQuery for visualization. Many users also send data to PostgreSQL or business intelligence platforms to build custom SEO dashboards that update automatically.

Send data from Google Search Console to Amazon S3

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Send Google Search Console Data to Amazon S3

To send Google Search Console data to Amazon S3, start by connecting your Google Search Console account as a data source in Kondado. Select the specific pipelines you need, such as Sites and Search Information, then configure Amazon S3 as your destination. Kondado handles the replication automatically on your chosen schedule, delivering structured files to your S3 bucket prepared for immediate analysis. Your SEO data flows continuously into your data lake, enabling comprehensive analysis alongside other marketing metrics without complex engineering work. The automated workflow ensures your search performance information stays current and accessible for SQL querying through Athena or data virtualization with Presto and Dremio.

Kondado provides a direct integration between Google Search Console and Amazon S3, replicating Sites and Search Information pipelines on a configurable schedule ranging from every 5 minutes to daily, storing data as optimized files ready for Athena, Presto, or Dremio analysis.

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The Sites pipeline captures your siteurl and permissionlevel data, enabling you to monitor property access and ownership across client portfolios or enterprise domains. Meanwhile, the Search Information pipeline delivers critical SEO metrics including impressions, clicks, and CTR alongside dimensions such as query, country, and device. With this data living in Amazon S3, you can run complex queries through Athena to identify high-opportunity keywords, analyze click-through patterns by device type, or merge search performance with paid advertising data from other sources to calculate true channel ROI. This setup supports agency reporting at scale and powers custom business intelligence workflows.

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Google Search Console data available for Amazon S3

available pipelines

extractable fields

Available integrations

Integration	Description
Sites	Field 'siteurl' provides the URL of the site, while 'permissionlevel' indicates the permission level associated with the site.
Search Information	Includes metrics such as 'impressions', 'clicks', and 'CTR', along with dimensions like 'query', 'country', and 'device'.

Sites

Field 'siteurl' provides the URL of the site, while 'permissionlevel' indicates the permission level associated with the site.

Search Information

Includes metrics such as 'impressions', 'clicks', and 'CTR', along with dimensions like 'query', 'country', and 'device'.

See all available data →

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How to send Google Search Console data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Google Search Console

Authenticate your Google Search Console account in Kondado by selecting it as your data source and granting the necessary permissions. This establishes the connection to your search performance data without requiring API credentials or technical configuration.

Configure Amazon S3

Enter your Amazon S3 bucket details and authentication credentials in the destination settings. Kondado will organize the replicated data into structured files within your specified S3 path, ready for analysis with Athena or other query engines.

Select Pipelines and Schedule

Choose the Sites and Search Information pipelines you want to replicate, then set your preferred update frequency from every 5 minutes to daily. Once data reaches Amazon S3, you can visualize it in Power BI or Looker Studio by connecting directly to your S3 bucket.

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